The embodiment of the present application provides a
cognition-based deceptive anti-interference method and device in an unmanned aerial vehicle network and belongs to the technical field of wirelesscommunications. The method comprises the following steps: determining whether
data transmission exists in the progress of a first unmanned aerial vehicle in the unmanned aerial vehicle network, and whether the
data transmission is interfered by a first interference
signal; if both the determination results are yes, obtaining a
network parameter of the unmanned aerial vehicle network; determining an optimal spoofing channel according to the
network parameter and a pre-stored spoofing channel
selection algorithm; determining an optimal spoofing revenue power according to the
network parameter and a pre-stored spoofing power allocation policy; if the optimal spoofing revenue power is greater than a preset revenue threshold, sending the pre-stored spoofing
signal through the optimal spoofing channel based on the optimal spoofing revenue power, to a second unmanned aerial vehicle in the unmanned aerial vehicle network for receiving the acquired data corresponding to the
data transmission. By adoption of the
cognition-based deceptive anti-interference method and device in the unmanned aerial vehicle network in the invention, the anti-interference effect of the unmanned aerial vehicle canbe improved.